Bendtorch.sgd_l: def of bendtorch@1.3.0.0
Import: import bendtorch@1.3.0.0/main.bend as Bendtorch
Lines 238-244 of bendtorch@1.3.0.0/main.bend: https://jend.leeeet.dev/read.txt?path=bendtorch@1.3.0.0/main.bend&start_line=238&end_line=244

import Base
import bend-ml-tensor-array@0.1.18.0/main.bend as TA

# w <- w + (-lr)*g, as PyTorch's p.add_(g, alpha=-lr)
def sgd_l(nleft: Nat, +t: U32, +lr: F32, rw: Array<F32> & F32, rg: Array<F32> & F32) -> TA.P2:
  match nleft rw rg:
    case 0n Tuple{w, x} Tuple{g, y}:
      TA.P2{w, g}
    case 1n+p Tuple{w, +x} Tuple{g, +y}:
      sgd_l(p, (t + 1 : U32), lr, Array.get(F32, Array.set(F32, w, t, (x + (F32.neg(lr) * y : F32) : F32)), (t + 1 : U32)), Array.get(F32, Array.set(F32, g, t, 0.0), (t + 1 : U32)))

Uses (13):
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.get
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Array.set
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.add
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.mul
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=F32.neg
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Nat
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Pair
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=Sigma
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32
  https://jend.leeeet.dev/definition.txt?path=Base/base.bend&name=U32.add
  https://jend.leeeet.dev/definition.txt?path=bend-ml-tensor-array@0.1.19.0/main.bend&name=P2